Entegris is seeking a Data & AI Architect to lead the design and implementation of scalable, intelligent systems that power their digital transformation, enabling operational excellence in manufacturing and elevating customer engagement.
Requirements
- Proven experience as a Data Architect, AI Architect, or similar role.
- Strong expertise in cloud platforms (GCP preferred; AWS or Azure also considered).
- Deep knowledge of data modeling, governance, and security principles.
- Proficiency in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Vertex AI).
- Familiarity with CI/CD pipelines, DevOps practices, and container orchestration (Docker, Kubernetes).
- Google Cloud Certified or equivalent cloud architecture certifications.
- Experience with knowledge graph technologies and metadata management.
Responsibilities
- Design and implement scalable data models, ontologies, and taxonomies aligned with business goals.
- Lead the development of enterprise data architecture on GCP to support analytics, operations, and AI workloads.
- Define metadata strategies and knowledge graph frameworks to enhance data discoverability and reuse.
- Architect and deploy AI/ML solutions, including LLM integration and agent-based frameworks.
- Evaluate and recommend AI technologies and frameworks that align with business needs.
- Establish and enforce ethical AI practices, including bias mitigation, transparency, and accountability.
- Partner with data engineers, scientists, and business stakeholders to deliver impactful solutions.
Other
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Strong communication and collaboration skills in a global, remote-first environment.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Entegris does not provide immigration-related sponsorship for this role.
- Must be eligible to work in the US without sponsorship
